Identification method for information security situation elements of multi-source heterogeneous big data network
Aiming at the problem of significant errors in identifying security situation elements,a multi-source heterogeneous big data network information security situation element identification method is proposed.Divide different time periods based on timestamps and reduce dimensionality to process multi-source heterogeneous big data.On this basis,analyze the threats faced by network information security,calculate the security situation value of the global aggregation architecture in the time window,and evaluate the vulnerability of the target network.Obtain the distribution weights of data network information security situation and complete the identification of security situation elements.The experimental results show that this method can identify threat intelligence data,network traffic data,security event logs,user behavior data,and network topology data,with a maximum recognition error of 0.10,and has high practicality.
multi-source heterogeneous big datanetwork informationsecurity situationelement ident-ification
万方数据
维普
